Audio compression using Fast Fourier Transform / Norbaizura Abdul Mutillip

This project presents an implementation of audio compression using the Fast Fourier Transform (FFT). The fundamental concept is to find innovative ways to reduce the data rate of the audio signal to as low as possible while still keeping the signal intelligible. In this project Fast Fourier Transfor...

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Bibliographic Details
Main Author:	Abdul Mutillip, Norbaizura
Format:	Thesis
Language:	English
Published:	2003
Subjects:	Apparatus and materials Applications of electronics
Online Access:	https://ir.uitm.edu.my/id/eprint/67863/1/67863.pdf
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id	my-uitm-ir.67863
record_format	uketd_dc
spelling	my-uitm-ir.678632023-05-08T04:00:14Z Audio compression using Fast Fourier Transform / Norbaizura Abdul Mutillip 2003 Abdul Mutillip, Norbaizura Apparatus and materials Applications of electronics This project presents an implementation of audio compression using the Fast Fourier Transform (FFT). The fundamental concept is to find innovative ways to reduce the data rate of the audio signal to as low as possible while still keeping the signal intelligible. In this project Fast Fourier Transform and Inverse Fast Fourier Transform are used for the compression and decompression of a speech signal. This audio compression scheme is simulated using MATLAB 6.5. Simulations are performed for different Fast Fourier Transform sizes and different number of components chosen. Two different methods were used that are by retaining the first n-components and by retaining dominant n-components. The Signal-To-Noise-Ratios are computed for all the simulations and used to study the behaviours of the compression scheme using Fast Fourier Transform. The noise introduced in the signal (for various cases) is studied both by listening to the recovered signal and by the calculated Signal-To-Noise-Ratios. 2003 Thesis https://ir.uitm.edu.my/id/eprint/67863/ https://ir.uitm.edu.my/id/eprint/67863/1/67863.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Khadri, Norasimali
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Khadri, Norasimali
topic	Apparatus and materials Applications of electronics
spellingShingle	Apparatus and materials Applications of electronics Abdul Mutillip, Norbaizura Audio compression using Fast Fourier Transform / Norbaizura Abdul Mutillip
description	This project presents an implementation of audio compression using the Fast Fourier Transform (FFT). The fundamental concept is to find innovative ways to reduce the data rate of the audio signal to as low as possible while still keeping the signal intelligible. In this project Fast Fourier Transform and Inverse Fast Fourier Transform are used for the compression and decompression of a speech signal. This audio compression scheme is simulated using MATLAB 6.5. Simulations are performed for different Fast Fourier Transform sizes and different number of components chosen. Two different methods were used that are by retaining the first n-components and by retaining dominant n-components. The Signal-To-Noise-Ratios are computed for all the simulations and used to study the behaviours of the compression scheme using Fast Fourier Transform. The noise introduced in the signal (for various cases) is studied both by listening to the recovered signal and by the calculated Signal-To-Noise-Ratios.
format	Thesis
qualification_level	Bachelor degree
author	Abdul Mutillip, Norbaizura
author_facet	Abdul Mutillip, Norbaizura
author_sort	Abdul Mutillip, Norbaizura
title	Audio compression using Fast Fourier Transform / Norbaizura Abdul Mutillip
title_short	Audio compression using Fast Fourier Transform / Norbaizura Abdul Mutillip
title_full	Audio compression using Fast Fourier Transform / Norbaizura Abdul Mutillip
title_fullStr	Audio compression using Fast Fourier Transform / Norbaizura Abdul Mutillip
title_full_unstemmed	Audio compression using Fast Fourier Transform / Norbaizura Abdul Mutillip
title_sort	audio compression using fast fourier transform / norbaizura abdul mutillip
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2003
url	https://ir.uitm.edu.my/id/eprint/67863/1/67863.pdf
_version_	1783735738274152448

Audio compression using Fast Fourier Transform / Norbaizura Abdul Mutillip

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